How big data starts to drive the world, and what kind of skills will you need to interpret it?
General Director of Alto Data Analytics, Jose Miguel Cansado, has developed his international career in IMB Watson and Alcatel-Lucent, including eight years in pacific Asia as Head of Multimedia and Mobile Communications. He is a telecommunication engineer and holds a master’s in marketing from INSEAD, as well as executive MBA from IE Business School.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

The Second International Conference on Data Mining & Knowledge Management Process (DKMP 2014) is jointly organized by AIRCC's Computer Science & Information Technology Community (CSITC) and Vel Tech Dr. RR & Dr. SR Technical University, Chennai, India.
Second International Conference on Data Mining & Knowledge Management Process (DKMP 2014) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data Mining and knowledge management process. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern data mining concepts and establishing new collaborations in these areas.
http://airccj.org/2014/dkmp/index.html

Deep Learning: Intelligence from Big Data
Tue Sep 16, 2014 6:00 pm - 8:30 pm
Stanford Graduate School of Business
Knight Management Center – Cemex Auditorium
641 Knight Way, Stanford, CA
A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence.
Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field.
Moderator
Steve Jurvetson, Partner, DFJ Ventures
Panelists
Adam Berenzweig, Co-founder and CTO, Clarifai
Naveen Rao, Co-founder and CEO, Nervana Systems
Elliot Turner, Founder and CEO, AlchemyAPI
Ilya Sutskever, Research Scientist, Google Brain
Demo Companies**:
Clarifai | SkyMind | Ersatz Labs | AlchemyAPI
** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl

The 2018 Crypto Valley Conference in collaboration with Lucerne University of Applied Sciences and Arts has invited leading speakers, researchers and academics to share their latest discoveries in the domain of blockchain technology. This annual event includes a business and academic track. The scientific publications, presented at the conference can be found on IEEE Xplore Digital Library.

Jorge Casillas, Shuo Wang, Xin Yao, Concept Drift Detection in Histogram-Based Straightforward Data Stream Classification, 6th International Workshop on Data Science and Big Data Analytics, IEEE International Conference on Data Mining, November 17-20, 2018 - Singapore
http://decsai.ugr.es/~casillas/downloads/papers/casillas-ci44-icdm18.pdf
This presentation shows a novel algorithm to accurately detect changes in non-stationary data streams in a very efficiently way.
If you want to know how the yacare caiman, the cheetah and the racer snake are related to this research, do not stop watching the video!
More videos here: http://decsai.ugr.es/~casillas/videos.html

Dr. Edward Balli discusses the use of data mining as insight for accounting. This is part 1 of 4 that were presented at the 2009 Salford Analytics and Data Mining Conference in San Diego. To view the complete series of conference videos, please visit http://www.salford-systems.com/video/conference.html.

About conference
Hear, Explore and learn the latest research. Present before distinguished global audience. Collaborate, build partnerships and experience USA. Join the global academic community.
Conference Series LLC Ltd. invites all the participants across the globe to attend the 5th International conference on Artificial Intelligence during April 16-17, 2018 at Las Vegas, Nevada, USA. Artificial Intelligence 2018 includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions.
Artificial Intelligence 2018 aims in proclaim knowledge and share new ideas amongst the professionals, industrialists and students from research area of Artificial Intelligence to share their research experiences and indulge in interactive discussions at the event. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “Surging into the future of Artificial Intelligence”. Artificial Intelligence is the latest trending technology in many fields especially in industries like manufacturing, control systems, Data mining, etc. The current era fully rolled out with many new Artificial Intelligence technologies. In such case more Software companies and industries were newly introduced within market which obviously shows the market growth of Artificial Intelligence. While analyzing the revenue growth of Artificial Intelligence, it highly developed from $150 billion USD to $250 billion USD since from 2010-2015. And the annual growth percentage increases from 20-55 percentages, which clearly shows that Software technology contains huge scope in coming years.
Due to incredible technology development, the industries are trying to reduce man power where they trying to increase automation function in various sectors. Now artificial intelligence is used in each and every company where machines are involved and some or other process is involved. Many fields like robotics, mechatronics, control systems, electronics, wireless, laser technology, automotive motors are depended only on this Automation functions. The conference organizers aim is to gather the researcher’s academicians and scientists from the field of Data Mining and Artificial Intelligence community to create an approach towards global exchange of information on technological advances, new scientific innovations, and the effectiveness of various regulatory programs towards artificial Intelligence.
Target Audience:
Artificial Intelligence Lab Directors/Associates, Robotics Lab Directors
Head of the Departments from the field of Artificial Intelligence, Automation & Robotics, Data Mining, Mechatronics, Control systems
According to TechSci Research report, "United States Artificial Intelligence Market, By Application, By Region, By End User Competition Forecast & Opportunities, 2011-2021", the artificial intelligence market in the US is projected to grow at a CAGR of 75% during 2016 - 2021 on account of growing artificial intelligence technology adoption in consumer electronic devices, research and developmental activities in healthcare industry, unmanned aerial vehicles, autonomous cars, etc.
This research evaluates enterprise robotics in the United States including companies, technologies, and solutions across industry verticals and applications. The report includes forecasts by industry vertical/application for 2017 through 2021.
Leading industry verticals are beginning to see improved operational efficiency through the introduction of robotics and Artificial Intelligence (AI). Robotics investment in many industries represents a substantial capital expenditure with the potential to dramatically reduce operational expenses through resource optimization, quality improvement, and waste reduction.
Robotics in business will accelerate as less expensive hardware and improvements in AI lead to improved cost structures and increased integration with enterprise software systems respectively. The massive amount of data generated by robotics will create opportunities for data analytics and AI-enabled decision support systems. Emerging areas for enterprise robotics include Robotics as a Service, Cloud Robotics, and General Purpose Robotics.
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artificial intelligence ai national geographic documentary bbc documentary
(Advexon)

by Qamar Zaman and Roque De Carvalho Chan
Transcript:
The situation within this scenario is to use the data sets of various Arabic dialects in order to classify them and separate them from one another. The various Arabic dialect texts are different and have small changes in between each of them which need to be classified separately.
We first began with using the WEKA toolkit explorer to input the data files provided and run them through with the variations of classifiers and filters.
We had decided to use the StringToWordVector filter as the default standard, we found that this was the best filter to be used in this particular case. We then searched for what would be the best classifiers to be used for this type of data set. We had found that after deciding from various classifier options used during our previous experiences with the WEKA toolkit, we had chosen to proceed and to test the training file on the following classifiers: J48, JRip, ZeroR, IBK, SMO and NaiveBayes.
We had then ran and recorded the results as shown. The classifiers chosen had default settings as we found that changing the settings of the classifiers didn’t change the results so greatly and in many cases had actually reduced the accuracy.
SMO being the fastest classifier, we had then decided that we should stick with it and found that through the modification of the filter StringToWordVector settings, it turns out that the accuracy increased of the data sets after running them alongside the default settings of SMO.
This in effect lead to the results as shown and we came to the conclusion that overall the effective use of the tokenizer and normalizeDocLength settings within the filter StringToWordVector proved that a more accurate and effective result is possible of classifying various Arabic dialect texts.

The winning team (5 students of the Swiss Federal Institute of Technology Lausanne) of the 2017 DATA MINING CUP talking about the competition, the difficulty of the task, their approach to the problem and the importance for students to solve real tasks of the industry. The video was filmed at the prudsys personalization summit - the conference for omni-channel personalization in retail.
The DATA MINING CUP as the world renowned student competition for intelligent data analysis combines theory and practice. It has been organized by prudsys AG every year starting in 2000.
prudsys AG
---
https://prudsys.de
https://prudsys.de/blog/
https://summit.prudsys.de
http://www.data-mining-cup.de
http://www.facebook.com/prudsys
http://www.twitter.com/prudsys

There are several data scientist archetypes:
The Detective, a master of analysis,
The Oracle, a master of modeling,
The Maker, a master of engineering, and
The Generalist, proficient at everything.
post: https://brohrer.github.io/data_science_archetypes.html
slides: https://docs.google.com/presentation/d/1HoGMJDCTaBXEN5QTULPWaeohpiCpXAqChNYRshAybbg/edit?usp=sharing
Talk given at the 2018 Metis DemystifyDS online conference: https://www.thisismetis.com/demystifying-data-science
Follow me for announcements and updates: https://twitter.com/_brohrer_

Montgomery County Small Business Navigator Judy Stephenson was one of the speakers during at The Power Conference: Women Doing Business. Her workshop was entitled, "Secret Not Secret: Three Ways to Mine Montgomery County Data Portal for Business Development."

By: Weiyue Huang, Xuezhi Cao, Yong Yu
At IEEE's International Conference on Data Mining in 2015, Drawbridge hosted a cross-device connections contest tasking participants with identifying a set of user connections across different devices without using common user handle information, for the purpose of proving that a technological, probabilistic approach to cross-device identity is a viable alternative to relying on deterministic user handle information.
Here, a contest participant explains his procedure.

Presenter: Marina Sirota, UCSF
Recent advances in genome typing and sequencing technologies have enabled quick generation of a vast amount of molecular data at very low cost. The mining and computational analysis of this type of data can help shape new diagnostic and therapeutic strategies in biomedicine. In this talk, I will discuss how such technological advances in combination with data science and integrative analysis can be applied to drug discovery in the context of drug target identification, computational drug repurposing, and population stratification approaches.

From the mediaX Conference “Platforms for Collaboration and Productivity”, Candace Thille, with the Stanford Graduate School of Education highlights the power of platform tools and technologies to transform observation and data collection. This process enables researchers from industry and academia to know their user better – as consumers, as producers, and as learners.